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Abstract

Measurement of human motion is widely required for various applications, and a significant part of this task is to identify
motion in the process of human motion recognition. There are several application purposes of doing this research such as
in surveillance, entertainment, medical treatment and traffic applications as user interfaces that require the recognition of
different parts of human body to identify an action or a motion. The most challenging task in human motion recognition
is to achieve the ability and reliability of a motion capture system for tracking and recognizing dynamic movements,
because human body structure has many degrees of freedom. Many attempts for recognizing body actions have been
reported so far, in which gestural motions have to be measured by some sensors first, and the obtained data are processed
in a computer. This paper introduces the 3D motion analysis of human upper body using an optical motion capture
system for the purpose of gesture recognition. In this study, the image processing technique to track optical markers
attached at feature points of human body is introduced for constructing a human upper body model and estimating its
three dimensional motion.

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Journal of Applied Remote SensingJournal of Astronomical Telescopes Instruments and SystemsJournal of Biomedical OpticsJournal of Electronic ImagingJournal of Medical ImagingJournal of Micro/Nanolithography, MEMS, and MOEMSJournal of NanophotonicsJournal of Photonics for EnergyNeurophotonicsOptical EngineeringSPIE Reviews